Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
667-02-006 ISMRM Abstract

Kurtosis-based Imaging of Neurite and Soma Architecture (KINSA) with water exchange

Primary: Diffusion - Diffusion Modeling
Secondary: Diffusion - Microstructure
667-02-006 · Diffusion Microstructure and Beyond · Thursday, 14 May, 9:25 AM–10:20 AM · Digital Posters Row H
Keywords: Analysis/Processing Alzheimer's Disease Membrane permeability Diffusion MRI modelling Diffusion Microstructure
Accepted
Tianjia Zhu1,2, Hao Huang 1,2
1Children's Hospital of Philadelphia, Philadelphia, United States of America
2University of Pennsylvania, Philadelphia, United States of America
Presenting Author: Hao Huang

Synopsis

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References

1. Zhu T, Huang H. Quantification of soma compartment in cerebral cortical mean kurtosis with diffusion MRI. In Proceedings of the 28th Annual Meeting of ISMRM, Virtual Conference, 2020. p. 4439. 69.
2. Zhu T, Huang H. Neuroanatomical underpinning of cerebral cortical mean kurtosis from diffusion MRI. In Proceedings of the 28th Annual Meeting of ISMRM, Virtual Conference, 2020. p.4457.
3. Zhu T, Tian Q, Huang S, Huang H. Sensitivity of cortical kurtosis measurement to diffusion time in KINSA modeling assessed with Connectome scanner diffusion MRI. In Proceedings of the 29th Annual Meeting of ISMRM, Virtual Conference, 2021. p.0495
4. Aggarwal M, Smith MD, Calabresi PA. Diffusion‐time dependence of diffusional kurtosis in the mouse brain. Magnetic resonance in medicine. 2020 Sep;84(3):1564-78. doi: 10.1002/mrm.28189. Epub 2020 Feb 5 [doi]
5. Lee HH, Novikov DS, Fieremans E, Huang SY. Revealing membrane integrity and cell size from diffusion kurtosis time dependence. Magnetic resonance in medicine. 2025 Mar;93(3):1329-47. doi: 10.1002/mrm.30335. Epub 2024 Oct 29. [doi]
6. Wu D, Lee HH, Ba R, Turnbill V, Wang X, Luo Y, Walczak P, Fieremans E, Novikov DS, Martin LJ, Northington FJ. In vivo mapping of cellular resolution neuropathology in brain ischemia with diffusion MRI. Science Advances. 2024 Jul 17;10(29):eadk1817. doi: 10.1126/sciadv.adk1817. Epub 2024 Jul 17. [doi]
7. Dong T, Lee HH, Zang H, Lee H, Tian Q, Wan L, Fan Q, Huang SY. In vivo cortical microstructure mapping using high-gradient diffusion mri accounting for intercompartmental water exchange effects. NeuroImage. 2025 May 9:121258. doi: 10.1016/j.neuroimage.2025.121258. Epub 2025 May 9. [doi]
8. Jensen JH. Diffusional kurtosis time dependence and the water exchange rate for the multi‐compartment Kärger model. Magnetic resonance in medicine. 2024 Mar;91(3):1122-35. doi: 10.1002/mrm.29926. Epub 2023 Nov 13. [doi]
9. Veraart J, Fieremans E, Novikov DS. Diffusion MRI noise mapping using random matrix theory. Magnetic Resonance in Medicine. 2016 doi: 10.1002/mrm.26059. [doi]
10. Garyfallidis E, Brett M, Amirbekian B, Rokem A, Van Der Walt S, Descoteaux M, Nimmo-Smith I, Dipy Contributors. Dipy, a library for the analysis of diffusion MRI data. Frontiers in neuroinformatics. 2014 Feb 21;8:8. doi: 10.3389/fninf.2014.00008. eCollection 2014. [doi]
11. Liu C, Ye FQ, Newman JD, Szczupak D, Tian X, Yen CC, Majka P, Glen D, Rosa MG, Leopold DA, Silva AC. A resource for the detailed 3D mapping of white matter pathways in the marmoset brain. Nature neuroscience. 2020 Feb;23(2):271-80. doi: 10.1038/s41593-019-0575-0. Epub 2020 Jan 13. [doi]

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http://echo.ismrm.org/p/ISMRM2026/667-02-006